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Webber, Hannah; Nelson, Sarah J.; Weatherbee, Ryan; Zoellick, Bill; Schauffler, Molly – Science Teacher, 2014
Data literacy is complex. When students investigate the natural world, they must be able to gather data, organize it in tables and spreadsheets, analyze it in context, and describe and interpret it--usually as evidence to support a scientific argument. These skills are echoed in the science and engineering practices of the "Next Generation…
Descriptors: Science Instruction, Graphs, Science Process Skills, Data Analysis
Peer reviewedKelly, Ivan; Ryan, Alan – Science Teacher, 1983
Explains the use of contingency tables as a tool in assessing variables to determine whether a relationship exists. Develops an example hypothesis step-by-step, noting the scientific processes and attitudes being addressed. Cautions that a large difference, which suggests a relationship, is not explanation since correlation does not guarantee…
Descriptors: Classification, Data Analysis, Data Collection, High Schools
Schneider, Michael – Science Teacher, 2004
This article describes how Cahokia middle and high school students conduct inquiry-based science through a pitfall trap experiment. In a collaborative effort, students designed and conducted pitfall trap investigations that combined their interest in the natural world with their love of technology. The students set up their own experiments to…
Descriptors: Topography, Investigations, Outdoor Education, High School Students

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